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At a glance
Job overview
Raindrop is hiring a ML Engineer. Raindrop is a monitoring platform for AI agents that alerts teams to silent failures, links to traces, and surfaces root causes. The company processes hundreds of millions of events, training custom models for each client. As a Machine Learning Engineer on the early team, the candidate will help shape strategy, product decisions, and scale the team while building world‑class products for millions of daily requests.
Key focus areas include Build world‑class product serving millions of daily requests., Architect, implement, and scale machine learning pipelines., and Iterate quickly while maintaining quality..
Successful candidates bring In Person In San Francisco Or Willing To Move. Preferred (not required): Growth Mindset, Balancing Short-Term And Long-Term Speed, Scaling Applications, and AI Products And Tools.
Skills & qualifications
Skills
Qualifications
Full job description
ABOUT RAINDROP
Raindrop http://raindrop.ai/ is the monitoring platform for AI agents. Engineering teams at Fortune 100s and the fastest-growing AI companies (Vercel, Speak, Clay) use it to catch silent failures in production. When an agent misbehaves, Raindrop alerts the team, links to the trace, and surfaces the root cause so they can fix it fast. With Raindrop 2.0 (Self-Healing Agents) https://www.raindrop.ai/blog/introducing-raindrop-2/, the loop closes itself: your coding agent fixes it, and the fix becomes an eval to prevent regressions.
WHY IT MATTERS
AI agents fail constantly in ways both hilarious and terrifying. Regular software throws exceptions. But AI agents fail silently, leaving engineers with almost no visibility into how their agents are actually performing.
The current status quo is sifting through millions of logs and trying debug flaky evals that just aren't matching real world results. Evals are like unit tests, they confirm your model got specific test cases right. But in the real world agents call thousands of tools, run for hours, and encounter millions of unpredictable actions.
That’s where Raindrop comes in. It learns the unique shape of each AI agent’s issues. Starting from presets like Laziness, Forgetting, or Task Failure, to automatically tuning itself to each agent and discovering unknown unknowns.
With one click of a button, AI engineers start tracking issues or topics across 100% of their production data. They can see frequency over time, how many users are affected, relevant properties and more.
In order to process hundreds of millions of events, we gradually train small, custom models, private to each company, that learn to uniquely understand how their product is used.
As part of the early team, you’ll play a fundamental role in shaping the company - from making strategy and product decisions, to helping scale the team, to shaping the future of AI agents.
OUR INVESTORS
We’re backed by incredible investors including Lightspeed and leading AI companies including Figma Ventures, Vercel Ventures, founders of Replit (Amjad Masad and Michele Castata), Cognition (Walden Yan), Framer (Koen Bok and Jorn van Dijk), Speak (Andrew Hsu), Notion (Akshay Kothari) and more.
YOUR FOCUS
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Build out a world-class product - servicing millions of requests a day + growing.
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Architect, implement, and scale ML pipelines
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Quick iteration without compromising on quality
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Deeply understand the customer
IDEAL CANDIDATE
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Knows how to balance short-term and long-term speed
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Proven experience scaling applications
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Interest in AI products + tools (ideally experience building these or an avid user)
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Cares about building well-designed products
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Willing to do whatever it takes to solve a problem
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Must be in person in San Francisco (or willing to move)
You've read the whole posting — now see how you match it.